Min3GISG: A Synergistic Feature Selection Framework for Industrial Control System Security with the Integrating Genetic Algorithm and Filter Methods

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Bibliographische Detailangaben
Veröffentlicht in:	International Journal of Computational Intelligence Systems vol. 18, no. 1 (Dec 2025), p. 104
1. Verfasser:	Potharaju, Saiprasad
Weitere Verfasser:	Tambe, Swapnali N., Rao, G. Madhukar, Kantipudi, M. V. V. Prasad, Bamane, Kalyan Devappa, Bendre, Mininath
Veröffentlicht:	Springer Nature B.V.
Schlagworte:	Accuracy Machine learning Datasets Classification Genetic algorithms Security Infrastructure Support vector machines Sensors Decision making Process controls Optimization Effectiveness Distributed control systems Feature selection Malware Control systems Algorithms Anomalies Real time Energy consumption Industrial electronics Efficiency
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